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The Top 6 Most Common Questions about Kinetica

By James Dilworth | January 6, 2017

You have questions. We have answers! As we pave a new market for hardware-accelerated databases, we’re frequently running into the same questions with eager-to-learn prospects and researchers. Here are some of the most popular ones, and you can find many more on the ‘Frequently Asked Questions‘ page. So, what exactly is Kinetica? Kinetica is a…

GPU Computing Is Revolutionizing Real-Time Analytics For Retail, CPG, Logistics and Supply Chain

By James Dilworth | December 8, 2016

Kinetica’s recent webinar with NVIDIA discussed using GPUs to efficiently and quickly ingest, explore, and visualize streaming datasets in new commercial use cases. Mark Brooks, Principal Systems Engineer, and NVIDIA’s John Barco, Senior Director of Partner Solutions, detailed these use cases in their webinar. Their presentation is below. t Kinetica was designed to be able…

Kinetica’s APIs and Connectors

By Eric Mizell | November 29, 2016

Kinetica was built from the ground up with a native REST API, enabling both SQL-92 query capability and a wide variety of open source connectors and APIs. This post shows just how easy it is to interact with Kinetica through some of these connectors as well as the SQL-92 query interface. Today’s data platforms are subject to demands…

Vectorized processing is the secret sauce behind the fastest, most powerful analytics database, ever

By James Dilworth | November 18, 2016

How do you uncover security threats from billions of different signals when time is of the essence? This was the challenge faced by the US Army Intelligence and Security Command eight years ago. It is the challenge that became the genesis for Kinetica vectorized analytics database. Threat identification requires searching for patterns within large volumes of…

How to Simplify Streaming Analytics Using a GPU-Accelerated In-Memory Database

By Michele Nemschoff | November 14, 2016

Companies are facing some significant challenges when it comes to simplifying their streaming architectures. To address these challenges, organizations are turning to Kinetica’s GPU-Accelerated database to perform brute force analytics. Both Amit Vij, CEO of Kinetica, and Mike Perez, VP of Services, explaisned more on this in their presentations at Strata + Hadoop World 2016.…

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